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Chapter Item
03 July 2024
Chapter 5

Mining urban lifestyles: urban computing, human behavior and recommender systems

Abstract

In the last decade, the digital age has sharply redefined the way we study human behavior. With the advancement of data storage and sensing technologies, electronic records now encompass a diverse spectrum of human activity, ranging from location data [1,2], phone [3,4], and email communication [5] to Twitter activity [6] and opensource contributions on Wikipedia and OpenStreetMap [7,8]. In particular, the study of the shopping and mobility patterns of individual consumers has the potential to give deeper insight into the lifestyles and infrastructure of the region. Credit card records (CCRs) provide detailed insight into purchase behavior and have been found to have inherent regularity in consumer shopping patterns [9]; call detail records (CDRs) present new opportunities to understand human mobility [10], analyze wealth [11], and model social network dynamics [12].

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Information & Authors

Information

Published in

ISBN (Print): 978-1-78561-977-9
ISBN (Online): 978-1-78561-978-6

History

Published online: 03 July 2024

Inspec keywords

  1. consumer behaviour
  2. human factors
  3. recommender systems
  4. ubiquitous computing
  5. Web sites

Keywords

  1. model social network dynamics
  2. OpenStreetMap
  3. Wikipedia
  4. email communication
  5. electronic records
  6. sensing technologies
  7. data storage
  8. recommender systems
  9. human behavior
  10. urban computing
  11. urban lifestyles

Authors

Affiliations

Sharon Xu
Operations Research, Massachusetts Institute of Technology, Cambridge, MA, USA
Riccardo Di Clemente
Centre for Advance Spatial Analysis, University College London, London, MA, UK
Marta C. González
City and Regional Planning Department, University of California, Berkeley, Berkeley, CA, USA

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